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Data generation

In many cases, the methods used to solve identification problems are based on an iterative minimization of some performance criterion measuring the dissimilarity between the experimental and the synthetic data (generated by the current estimate of the direct model). In our case, direct quantitative comparison of two Bscan images at the pixels level is a very difficult task and involves the solution of a very difficult optimization problem, which can be also ill-behaved. Moreover, it would lead to a tremendous amount of computational burden. Segmented Bscan images may be used as concentrated representations of the useful... [Pg.172]

Field studies are required to provide a more reaUstic picture of the dissipation of the parent compound and those degradates determined to be significant. Under field conditions pesticides are exposed simultaneously to the individual dissipation processes that were examined separately in the laboratory studies. Thus, in field studies, some dissipation processes may be altered due to competition and interaction. Requirements for spray drift data were outlined in draft Subdivision R, but the EPA agreed that data generated on a generic basis by an industry consortium could represent the potential for drifting of individual pesticides. [Pg.147]

Phonon transport is the main conduction mechanism below 300°C. Compositional effects are significant because the mean free phonon path is limited by the random glass stmcture. Estimates of the mean free phonon path in vitreous siUca, made using elastic wave velocity, heat capacity, and thermal conductivity data, generate a value of 520 pm, which is on the order of the dimensions of the SiO tetrahedron (151). Radiative conduction mechanisms can be significant at higher temperatures. [Pg.506]

Statistically designed studies should be performed to determine accuracy, precision, and selectivity of the methodology used for trace or ultratrace analyses. The rehabihty requirements for these studies are that the data generated withstand iatedaboratory comparisons. [Pg.243]

The simulation models of the flow-sheeting system must make frequent requests for properties at specific temperatures, pressures, and compositions. Computer-program calls for such data are usually made in a rigorously defined manner, which is independent of both the point data generation models and the particular components. These point generation routines provide the property values, using selected methods that base their calculations on a set of parameters for each component. [Pg.76]

The galvanic series in Table 16.1 is generally useful for predicting the tendency toward galvanic corrosion between coupled metals. The arrangement of this series is, however, based on data generated under controlled laboratory conditions on clean, bare metals. [Pg.362]

These experimental techniques are very important since the data generated thereby gives direct information on one aspect of the microstructure in the shock-compressed state. Measurements of this type are of the highest value, since they often put to rest false assumptions and give confidence in important underlying principles. [Pg.249]

With such aTOF-imaging SSIMS instrument, the useful mass range is extended beyond 10000 amu the mass resolution, m/Am, is -10000 with simultaneous detection of all masses and within each image, all masses can be detected. The number of data generated in a short time is enormous, and very sophisticated data acquisition systems are required to handle and process the data. [Pg.91]

The Japanese Direct Iron Ore Smelting (DIOS) process. This process produces molten iron directly with coal and sinter feed ore. A 500 ton per day pilot plant was started up in October, 1993 and the designed production rates were attained as a short term average. Data generated is being used to determine economic feasibility on a commercial scale. [Pg.126]

Emission factors are emission rales dclcrniincd by regulatory agencies based on data generated from a given source that arc nornialized to some unit of production or rale of chemical use. These factors are compiled for industries, processes or sources. Tliis information is used to esliniale einission rates without a detailed analysis. The emission factor must be closely related to die... [Pg.311]

Data may be inaccurate, incomplete, or inappropriate Data from related activities might not be directly applicable Data generated by expert Judgment may be inaccurate Improper or incomplete chmacterization of the general population... [Pg.524]

Sources for bond lengths, bond angles, and dihedral angles include the published literature, standard references like the CRC series, and previous calculations. Z-matrices may also be created by the NewZMat utility from data generated by a wide variety of drawing packages. Refer to the Quick Start for a sample conversion operation for your version of Gaussian. [Pg.289]

This is best illustrated by the following example for a rural development project. The electrical power demand is shown in Figure 15.21 and was developed from historical data generated from similar developments in other regions. The operating statistics indicated that... [Pg.192]

Before computer-based systems were developed, a major limitation of vibration monitoring programs was the labor required to manage, store, retrieve, and analyze the massive amount of data generated. However, the computer-based systems in use today virtually eliminate this labor requirement. These systems automatically manage data and provide almost instant data retrieval for analysis. [Pg.699]

These test methods and the number and complexity of the variables present is related to the level of sophistication of the test. The combination that can influence test data defines the test limitations. Variables are found not only in test methods, but also in other non-test-related areas affecting data generation. Examples include misinterpretation, misuse, or misapplication of the test or any of its integral parts (test setup, test procedure, reporting, etc.) contribute to their limitations (2 to 11, 64,208). [Pg.304]

Thermal inversions make winter the most unfavorable season for clean air. Vast differences in air quality are found in the industrialized north, and the residential southwest regions. Particulate matter influences mainly the north, where industries, landfills, and the dried bed of Texcoco Lake are located. Sulfur oxides impinge primarily on the northeast and southwest. High carbon monoxide concentrations are found in heavy traffic areas such as the northwest. Ozone affects predominantly the southwest at any season. We have selected air quality records from data generated by stations registering the higher pollutant levels, as follows ... [Pg.156]

The ion-trap and Q-ToF instruments are, because of the way that they operate, unable to carry out precursor-ion scans. Computer manipulation of data generated during product-ion scans of the Q-ToF system, however, can yield equivalent data to that produced directly by precursor-ion scans on other instruments and an evaluation of this software-based approach has been carried out [14],... [Pg.68]

While it is true that in many cases the quality of data acquired during analysis is directly proportional to the quality of the result that may be obtained, it is also true that in many cases the power of modem computer systems attached to analytical equipment of all sorts can be nsed to provide better results than might be thought possible from a cursory examination of the raw data. Even when chromatography is used to separate the components of a mixture and simplify the job of the analyst, the computer may still allow information hidden in the vast amount of data generated to be extracted. [Pg.74]


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See also in sourсe #XX -- [ Pg.34 ]




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Conformational data, generation

Costs of Data Generation

Data Generation Using Optical In-line Spectroscopy

Data generation chromatograms

Data generation methods

Data generation models

Data generation spectra

Data generation, high-quality

Data-generation process

EU data generation

EU data generation method validation

Environmental data-generation process

Generating Pre-Harvest Interval Data

Generating and Analyzing Simulation Data

Generating data

Generation of Data for Identification

Generation of Kinetic Data

Heat generation data

Heat generation data of a chemical

Internally generated engineering data

Next-generation sequencing data analysis

Predictive Data Generation

Protein Data Bank database generation

RISK DATA GENERATION

Spheres, computer-generated data

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